Based on the observation data of negative oxygen ions and the meteorological and environmental data observed in Zhenhai district of Ningbo city during 2017-2018, the partial-correlation function was used to analyze the correlation between air temperature, relative humidity, wind speed, precipitation, air quality index (AQI) and negative oxygen ion. Subsequently, a prediction model of negative oxygen ion was established by using the multivariate regression method. The results showed that there was a signi?cant positive correlation between negative oxygen ion concentration and air temperature and relative humidity, and its correlation coef?cients (R) were 0.569 and 0.210, respectively. Moreover, the concentration changing of negative oxygen ion was negatively correlated with AQI, and the correlation coefficient (R) was-0.578. The prediction model of negative oxygen ion that was constructed by air temperature, relative humidity and AQI in this study, had a good capability for predicting the concentration grade of negative oxygen ion. The coef?cient (R2) of determination of the prediction model was 0.677, the correlation coef?cient (R) between the model recalculation and the observation of negative oxygen ion concentration was 0.803, moreover, the accuracy rate of the model recalculation was 78%, as for the concentration grade of negative oxygen ion. The independent test had further demonstrated that the prediction model has good performance for predicting the concentration grade of negative oxygen ion. Generally, the accuracy rate of the model prediction was up to 71% in the independent test, and the higher the concentration grade of negative oxygen ion was, the more accurate the prediction was.
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